Assessment of collateral coronary arteries
AssigneeSiemens Healthcare GmbH
InventorsLucian Mihai Itu, Tiziano Passerini, Puneet Sharma
Life of this patent
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Abstract
Systems and methods are provided for assessing collateral circulation of a patient. Patient data of a patient is received. A collateral circulation score is computed based on the patient data using a trained machine learning network. The collateral circulation score represents functioning of collateral circulation of the patient. The collateral circulation score is output.
Claims16
A method for assessing collateral circulation of a patient, comprising:
- receiving patient data of a patient, the patient data comprising one or more medical images of a collateral artery of the patient;
- performing an anatomical assessment of the collateral artery based on the one or more medical images;
- performing a functional assessment of the collateral artery based on the one or more medical images;
- computing a collateral circulation score representing functioning of collateral circulation of the patient using a trained machine learning network, the trained machine learning network receiving as input the patient data, results of the anatomical assessment, and results of the functional assessment and generating as output the collateral circulation score;
- and
- outputting the collateral circulation score.
An apparatus for assessing collateral circulation of a patient, comprising:
- means for receiving patient data of a patient, the patient data comprising one or more medical images of a collateral artery of the patient;
- means for performing an anatomical assessment of the collateral artery based on the one or more medical images;
- means for performing a functional assessment of the collateral artery based on the one or more medical images;
- means for computing a collateral circulation score representing functioning of collateral circulation of the patient using a trained machine learning network, the trained machine learning network receiving as input the patient data, results of the anatomical assessment, and results of the functional assessment and generating as output the collateral circulation score;
- and
- means for outputting the collateral circulation score.
A non-transitory computer readable medium storing computer program instructions for assessing collateral circulation of a patient, the computer program instructions when executed by a processor cause the processor to perform operations comprising:
- receiving patient data of a patient, the patient data comprising one or more medical images of a collateral artery of the patient;
- performing an anatomical assessment of the collateral artery based on the one or more medical images;
- performing a functional assessment of the collateral artery based on the one or more medical images;
- computing a collateral circulation score representing functioning of collateral circulation of the patient using a trained machine learning network, the trained machine learning network receiving as input the patient data, results of the anatomical assessment, and results of the functional assessment and generating as output the collateral circulation score;
- and
- outputting the collateral circulation score.
Dependencies are inferred from the claim text.